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Data Popularity for Cache Eviction Algorithms using Random Forests / Chuchuk, Olga (CERN ; U. Cote d'Azur) ; Schulz, Markus (CERN)
In the HEP community the prediction of Data Popularity is a topic that has been approached for many years. Nonetheless, while facing increasing data storage challenges, especially in the upcoming HL-LHC era, there is still the need for better predictive models to answer the questions of whether particular data should be kept, replicated, or deleted.Caches have proven to be a convenient technique for partially automating storage management, potentially eliminating some of these questions. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 01015 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.01015

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Data access optimisation at CERN and in the Worldwide LHC Computing Grid (WLCG) / Chuchuk, Olga
The Worldwide LHC Computing Grid (WLCG) offers an extensive distributed computing infrastructure dedicated to the scientific community involved with CERN’s Large Hadron Collider (LHC) [...]
CERN-THESIS-2024-174 - 2024 - 132.

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Caching for dataset-based workloads with heterogeneous file sizes / Chuchuk, Olga (CERN ; INRIA, Sophia Antipolis) ; Neglia, Giovanni (INRIA, Sophia Antipolis) ; Schulz, Markus (CERN) ; Duellmann, Dirk (CERN)
Caching can effectively reduce the cost of serving content and improve the user experience. In this paper, we explore the benefits of caching for existing scientific workloads, taking the Worldwide LHC (Large Hadron Collider) Computing Grid as an example. [...]
2022 - 18 p. - Published in : PoS ISGC2022 (2022) 009 Fulltext: PDF;
In : International Symposium on Grids & Clouds (ISGC 2022), Taipei, Taiwan, 21 - 25 Mar 2022, pp.009

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Methods of Data Popularity Evaluation in the ATLAS Experiment at the LHC / Grigoryeva, Maria (M.V. Lomonosov Moscow State University (RU)) ; Chuchuk, Olga (Université Côte d'Azur (FR)) ; Sciaba, Andrea (CERN) ; Klimentov, Alexei (Brookhaven National Laboratory (US)) ; Tretyakov, Evgeny (National Research Nuclear University MEPhI (RU)) ; Di Girolamo, Alessandro (CERN) ; Beermann, Thomas (Bergische Universitaet Wuppertal (DE)) ; Schulz, Markus (CERN) ; Lassnig, Mario (CERN) /ATLAS Collaboration
The ATLAS Experiment at the LHC generates petabytes of data that is distributed among 160 computing sites all over the world and is processed continuously by various central production and user analysis tasks. The popularity of data is typically measured as the number of accesses and plays an important role in resolving data management issues: deleting, replicating, moving between tapes, disks and caches. [...]
ATL-SOFT-SLIDE-2021-146.- Geneva : CERN, 2021 - 10 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021

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Applying Data Analytics to Storage Systems and Data Access / Chuchuk, Olga (speaker) (Université Côte d'Azur (FR)) ; Gargiulo, Federico (speaker) (Universita e sezione INFN di Napoli (IT)) ; Sciabà, Andrea (speaker) (CERN) ; Sciaba, Andrea (speaker) (CERN)
2021 - 3451. HEP Computing; EOS workshop External links: Talk details; Event details In : EOS workshop

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